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Which of the following imputation strategies is not used and not advisable? fill in missing values...

Which of the following imputation strategies is not used and not advisable?

  1. fill in missing values with the maximum value found in the training set
  2. fill in missing values with the last observed measurement of that type
  3. fill in missing values with a predictive model trained on observed values
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Answer #1

Hey here is answer to your question.

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  1. fill in missing values with the maximum value found in the training set

Because that will create large scale outliers and will afftect the whole traning process.

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